Which kind of algorithm works best (supervised, unsupervised, classification, regression, etc.) depends on the kind of problem you’re solving, the computing resources available, and the nature ...

Logistic regression. Classification algorithms can find solutions to supervised learning problems that ask for a choice (or determination of probability) between two or more classes.

The earlier AdaBoost.R algorithm was a suggestion in the original 1995 AdaBoost binary classification research paper by Y. Freund and R. Schapire, ... The AdaBoost.R2 regression algorithm has not ...

To evaluate the diagnostic accuracy of an algorithm, it can be compared to the best existing classification for the used dataset, for which the value 100 percent is assigned.

The first job for many artificial intelligence (AI) algorithms is to examine the data and find the best classification. An autonomous car, for example, may take an image of a street sign; the ...

Citation: Regression approach outperforms ML algorithms in predicting optimal surgical method in submucosal tumor patients (2024, February 28) retrieved 15 May 2025 from https://medicalxpress.com ...

New algorithm for classification of skin lesions - deep learning algorithm with improved diagnostic accuracy. Technical University of Munich (TUM) Journal Medical Image Analysis Funder ...